Copertina

ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Do, Quyet V., Fang, Tianqing, Diao, Shizhe, Wang, Zhaowei, Song, Yangqiu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

What Really is Commonsense Knowledge?
di: Do, Quyet V., et al.
Pubblicazione: (2024)

CKBP v2: Better Annotation and Reasoning for Commonsense Knowledge Base Population
di: Fang, Tianqing, et al.
Pubblicazione: (2023)

Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs
di: Fang, Tianqing, et al.
Pubblicazione: (2024)

Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization
di: He, Mutian, et al.
Pubblicazione: (2022)

Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction
di: Han, Kaiqiao, et al.
Pubblicazione: (2024)

CodeGraph: Enhancing Graph Reasoning of LLMs with Code
di: Cai, Qiaolong, et al.
Pubblicazione: (2024)

Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning
di: Fang, Tianqing, et al.
Pubblicazione: (2023)

ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning
di: Zhang, Liyu, et al.
Pubblicazione: (2024)

AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph
di: Wang, Zhaowei, et al.
Pubblicazione: (2023)

The Cognitive Bandwidth Bottleneck: Shifting Long-Horizon Agent from Planning with Actions to Planning with Schemas
di: Xu, Baixuan, et al.
Pubblicazione: (2025)

LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
di: Li, Jiachun, et al.
Pubblicazione: (2024)

$π^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models
di: Do, Quyet V., et al.
Pubblicazione: (2026)

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning
di: Wang, Weiqi, et al.
Pubblicazione: (2024)

On-the-fly Denoising for Data Augmentation in Natural Language Understanding
di: Fang, Tianqing, et al.
Pubblicazione: (2022)

KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogical Argument Mining
di: Zheng, Zihao, et al.
Pubblicazione: (2024)

UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
di: Xu, Xin, et al.
Pubblicazione: (2025)

ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
di: Liu, Mingjie, et al.
Pubblicazione: (2025)

Plausibility as Commonsense Reasoning: Humans Succeed, Large Language Models Do not
di: Karakaş, Sercan
Pubblicazione: (2026)

BrainBench: Exposing the Commonsense Reasoning Gap in Large Language Models
di: Tang, Yuzhe
Pubblicazione: (2026)

Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models
di: Wang, Yuqing, et al.
Pubblicazione: (2023)

Are Large Language Models Table-based Fact-Checkers?
di: Zhang, Hanwen, et al.
Pubblicazione: (2024)

CP-SynC: Multi-Agent Zero-Shot Constraint Modeling in MiniZinc with Synthesized Checkers
di: Song, Yuliang, et al.
Pubblicazione: (2026)

Commonsense Knowledge Editing Based on Free-Text in LLMs
di: Huang, Xiusheng, et al.
Pubblicazione: (2024)

SciResearcher: Scaling Deep Research Agents for Frontier Scientific Reasoning
di: Zheng, Tianshi, et al.
Pubblicazione: (2026)

EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion
di: Su, Ying, et al.
Pubblicazione: (2024)

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation
di: Bai, Jiaxin, et al.
Pubblicazione: (2023)

Transformers for Complex Query Answering over Knowledge Hypergraphs
di: Tsang, Hong Ting, et al.
Pubblicazione: (2025)

Com$^2$: A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models
di: Xiong, Kai, et al.
Pubblicazione: (2025)

ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models
di: Zhou, Kaiwen, et al.
Pubblicazione: (2023)

From Data to Commonsense Reasoning: The Use of Large Language Models for Explainable AI
di: Krause, Stefanie, et al.
Pubblicazione: (2024)

Can We Verify Step by Step for Incorrect Answer Detection?
di: Xu, Xin, et al.
Pubblicazione: (2024)

Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Models
di: Liu, Shuqi, et al.
Pubblicazione: (2025)

Disentangling Reasoning and Knowledge in Medical Large Language Models
di: Thapa, Rahul, et al.
Pubblicazione: (2025)

Zero-Shot Commonsense Validation and Reasoning with Large Language Models: An Evaluation on SemEval-2020 Task 4 Dataset
di: Alfugaha, Rawand, et al.
Pubblicazione: (2025)

CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge
di: Zheng, Tianshi, et al.
Pubblicazione: (2024)

Filling the Gap: Is Commonsense Knowledge Generation useful for Natural Language Inference?
di: Jayaweera, Chathuri, et al.
Pubblicazione: (2025)

Benchmarking Chinese Commonsense Reasoning with a Multi-hop Reasoning Perspective
di: You, Wangjie, et al.
Pubblicazione: (2025)

LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models
di: Diao, Shizhe, et al.
Pubblicazione: (2023)

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
di: Ding, Wenxuan, et al.
Pubblicazione: (2023)

Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?
di: Wang, Qineng, et al.
Pubblicazione: (2024)